Abstract: A system for recycling a mobile device. A system configured in accordance with one embodiment of the present technology includes an electrical connector and testing electronics. The electrical connector is configured to be electrically connected to a mobile device, and the testing electronics are configured to produce an electrical measurement by measuring an electrical attribute associated with a hardware component of the mobile device over the electrical connector. The system is further configured to valuate, identify, and/or authenticate the mobile device based at least in part on the electrical measurement.

Abstract: Systems and methods for training a machine learning (“ML”) model for use in controlling an autonomous vehicle (“AV”) are described herein. Implementations can obtain an initial state instance from driving of a vehicle, obtain ground truth label(s) for subsequent state instance(s) that each indicate a corresponding action of the vehicle for a corresponding time instance, perform, for a given time interval, a simulated episode, of locomotion of a simulated AV, generate, for each of a plurality of time instances of the given time interval, subsequent simulated state instance(s) that differ from the subsequent state instance(s), determine, using the ML model, and for each of the time instances, a predicted simulated action of the simulated AV based on the subsequent simulated operation instance(s), generate loss(es) based on the predicted simulated actions and the ground truth labels, and update the ML model based on the loss(es).

Abstract: Techniques for event driven harvesting and analysis of cloud computing resources in a cloud computing environment, comprising: obtaining information about at least one cloud computing event in the cloud computing environment; determining if the at least one event is related to the allocation of storage to a cloud computing resource; in response to determining the at least one event is related to the allocation of storage to a cloud computing resource, requesting data from the cloud computing resource; and analyzing the data for the presence of security risks and vulnerabilities.

Abstract: Techniques for event driven harvesting and analysis of cloud computing resources in a cloud computing environment, comprising: obtaining, from a cloud computing environment, data related to an event that occurred in the cloud computing environment; in response to obtaining the data, requesting, from the cloud computing environment, supplemental data about the event that occurred in the cloud computing environment, the supplemental data including information about the event and/or information about impact of the event on a resource; determining whether a security action is to be taken at least in part by analyzing the data and/or the supplemental data; and when it is determined a security action is to be taken, performing the security action.

Abstract: System and methods for providing simultaneous public and private audio-video integrated with an interactive board game, where a private viewer looking through an eye filter perceives the private video while a public viewer not looking through an eye filter perceives the public video all responsive to playing the interactive board game. Means for providing private audio simultaneous with the private video are also shown. The audio-video is selectively provided during game play based at least upon the tracked game state of the interactive board game. The video output component of the system can be implemented as either a display or a projector.

Abstract: Systems and methods are described for generating a transcript of a legal proceeding or other multi-speaker conversation or performance in real time or near-real time using multi-channel audio capture. Different speakers or participants in a conversation may each be assigned a separate microphone that is placed in proximity to the given speaker, where each audio channel includes audio captured by a different microphone. Filters may be applied to isolate each channel to include speech utterances of a different speaker, and these filtered channels of audio data may then be processed in parallel to generate speech-to-text results that are interleaved to form a generated transcript.

Abstract: An aspect of the invention is directed towards a data processing system and method including a transaction scheduler configured to process transactions, a tag control circuit coupled to the transaction scheduler configured to detect a fault by comparing output signals, and a controller coupled to the tag control circuit. The controller is configured to receive a transaction request identifying a transaction, generate a unique tag value for the transaction request, load the unique tag value into the transaction scheduler, determine a current unique tag value associated with the transaction being executed, and generate a fault. The system is further configured to generate fault when: (i) the current unique tag value is not found, or (ii) the transactions timeout after a predetermined number of cycles.

Abstract: A resonance avoidance system including a resonance avoidance controller configured to insert a delay between sequential transactions on a communication interface separated by an inactive period to avoid stimulating a power distribution network resonance. The resonance avoidance controller may be configured to insert the delay by delaying a second transaction from being driven onto the communication interface after a first transaction in which the delay is sufficient to avoid stimulating the power distribution network resonance. The delay may be inserted by delaying a driver from driving the second transaction by the sufficient delay. The conflict may be detected between first and second commands in a command queue, in which the delay may be inserted by inserting no operation commands between the commands in the command queue. Operational timing values may be stored that are used to detect resonant frequency conflicts.

Abstract: A series of substituted imidazo[1,2-b]pyridazine derivatives as defined herein, being potent modulators of human IL-17 activity, are accordingly of benefit in the treatment and/or prevention of various human ailments, including inflammatory and autoimmune disorders.

Abstract: Aspects of the disclosure are directed to allocating bandwidth. As may be implemented in accordance with one or more embodiments, respective amounts of bandwidth are allocated to respective application groups for each memory access cycle in a set of memory access cycles. Initial bonus bandwidth is provided to a first one of the application groups during one of the memory access cycles. The bonus bandwidth may include at least a portion of bandwidth allocated to and unused by one of the other respective application groups during the memory access cycle. Additional bonus bandwidth is selectively provided to the first application group during one of the memory access cycles based on the initial bonus bandwidth and a maximum amount of bonus bandwidth defined for the set of memory access cycles, in response to bandwidth allocated to one of the other respective application groups during the subsequent memory access cycle being unused.

Abstract: Determining an instantaneous vehicle characteristic (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined instantaneous vehicle characteristic of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined instantaneous vehicle characteristic of the additional vehicle. In many implementations, the instantaneous vehicle characteristics of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.

Abstract: This disclosure relates to an apparatus for measuring the transmittance of several wavelengths of light through a liquid sample in order to measure or estimate established and novel quality parameters that are descriptive of the quality of the liquid being monitored. The apparatus comprises at least two light emitting diode (LED) modules; each comprising an LED light source and a beam splitter window; a cylindrical rigid structure, a mounting structure, a window aperture, a mechanism for fixing the position of the LED modules, at least one LED light detector, a liquid sample light detector, a microprocessor, and an enclosing structure surrounding the apparatus. The apparatus provides a means for fine tuning the alignment of the light beams generated by the LED light sources, which ensures that the light beams are propagated optimally within the apparatus body and measured accurately by the light detectors.

Abstract: Techniques described herein relate to authorization between integrated cloud products. An example includes receiving, by a computing device and from a first resource, a first request for permission to access a certificate to verify a requestor's identity. The computing device can transmit a second request to a second resource to authorize permitting access to the certificate. The computing device can receive a response from the second resource comprising an authorization to permit access to the certificate. The computing device can grant permission to the first resource to access the certificate, wherein the first resource is configured to verify the requestor's identity based on accessing the certificate. The computing device can receive a third request from the first resource to generate an association object between the first resource and the certificate. The computing device can generate the association object, wherein the association object associates the first resource and the certificate.

Abstract: Implementations process, using machine learning (ML) layer(s) of ML model(s), actor(s) from a past episode of locomotion of a vehicle and stream(s) in an environment of the vehicle during the past episode to forecast associated trajectories, for the vehicle and for each of the actor(s), with respect to a respective associated stream of the stream(s). Further, implementations process, using a stream connection function, the associated trajectories to forecast a plurality of associated trajectories, for the vehicle and each of the actor(s), with respect to each of the stream(s). Moreover, implementations iterate between using the ML layer(s) and the stream connection function to update the associated trajectories for the vehicle and each of the actor(s). Implementations subsequently use the ML layer(s) in controlling an AV.

Abstract: Irrigation needs assessment systems and methods may determine irrigation needs of one or more participants. The irrigation needs assessment system may determine irrigation needs based on weather conditions, forecast weather conditions, plant water uptake, and ground moisture content information. Evaporation rate information may be provided from one or more other participants of the irrigation needs assessment service.

Abstract: Methods and systems using unqiue item identifiers and a wireless device to (a) authenticate authorization to take possession of an item and (b) specifying and/or tracking service processing of the item.

Abstract: A product conveying and coating system includes multiple, sequentially arranged conveyor units, with at least one conveyor unit being an open belt type. A carrier sheet is placed on a first of the conveyor units, a web of coating material in liquid form is deposited on the carrier sheet and spaced ropes of soft and sticky material are deposited on and settle into the web. The carrier sheet, web and ropes are transferred to a second conveyor unit after the coating material of the web solidifies, whereupon the ropes are cut into bar-length pieces. Thereafter, the carrier sheet is removed while the web and pieces are transferred to the open belt conveyor unit and exposed to an enrober. The enrober coats the pieces while melting portions of the web between the pieces in order to form full coated or encapsulated food products with soft and sticky cores.

Abstract: Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.

Abstract: A ball dropping tool includes an outer and inner body, side bore, ball and an actuator. The outer body has an axial bore extending between a first and second end of the outer body and forming a flow path. The inner body forms a bypass passage extending between a first and second end of the inner body. The side bore is defined by the inner body and is disposed at an angle relative to the axial bore of the outer body. The bypass passage is disposed in a portion of the flow path and is in communication with the side bore. The ball is disposed within the side bore. The actuator, disposed within the outer body, is movable between a retaining position wherein the ball is retained within the side bore and a release position wherein the ball is released from the side bore and into the bypass passage.

Abstract: Techniques are disclosed for evaluating an autonomous vehicle (“AV”) control system by determining deviations between data generated using the AV control system and manual driving data. In many implementations, manual driving data captures action(s) of a vehicle controlled by a manual driver. Additionally or alternatively, multiple AV control systems can be evaluated by comparing deviations for each AV control system, where the deviations are determined using the same set of manual driving data.